Machine Learning Engineer

Solvo.ai; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity package

Hybrid work in London

Job summary

Solvo.ai—a London-based company—seeks a skilled Machine Learning Engineer to advance pricing models for global shipping. You will design, build, and deploy models at scale, collaborating with scientists, engineers, and industry experts to deliver real customer value.

The role blends research and production, requiring a strong ML foundation, Bayesian methods, and ability to translate research into practical solutions. Hybrid work in London offered.

Qualifications

• Experience in ML research or applied ML with probabilistic modeling.
• Experience moving ML models from prototype to production.
• Strong analytical and problem-solving abilities.
• MSc/PhD or equivalent practical experience.
• Clear communication and collaboration across teams.

Responsibilities

• Advance decision-making and pricing models with ML.
• Design and deploy production-grade ML systems.
• Translate research into customer-ready solutions.
• Collaborate in cross-functional teams for measurable impact.
• Communicate complex ideas to technical and non-technical audiences.
• Continue developing skills and contribute to a learning culture.

Skills

Machine Learning

Production ML

Probabilistic Models

Bayesian Statistics

Analytical Skills

Communication

Education

MSc/PhD in CS/Stats

Tools

TensorFlow

PyTorch

Distributed Training

Job description

Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Our models help carriers and forwarders price in volatile markets—unlocking measurable impact on every vessel, every route, every day.

Our team brings decades of experience across logistics, artificial intelligence, and scaling startups. We focus on developing solutions that are not only innovative but proven in production—transforming the economics of global trade. We’re proud of what we achieve and how we work: with professionalism, integrity, and transparency.

We are looking for someone to join the team in the next 3 months.

The Role

We’re looking for a skilled and motivated Machine Learning Engineer to join our team and help advance the next generation of Solvo’s AI products. This is a hands‑on role at the intersection of research and production, where your work will contribute directly to how container vessels around the world are priced.

You’ll collaborate closely with scientists, engineers, and industry experts—designing, building, and deploying models that deliver real value for customers. From data exploration and algorithm development to scalable system design, you’ll play a key role across the full ML lifecycle and see your work in action at global scale.

If you want to apply cutting‑edge machine learning to a trillion‑dollar industry and you’re excited by solving meaningful, complex problems, we’d love to hear from you.

What You’ll Do

• With guidance from the Head of ML, advance Solvo’s decision‑making and pricing models through innovative ML engineering and research.
• Design, implement, and deploy production‑grade ML systems with scalability and robustness in mind.
• Translate state‑of‑the‑art research (probabilistic modelling, Bayesian methods, optimisation) into customer‑ready solutions.
• Work collaboratively within a cross‑functional team to deliver measurable impact to global shipping customers.
• Communicate complex ideas clearly to both technical and non‑technical audiences.
• Continue developing your own skills and contribute to a supportive culture of learning and innovation.

What We’re Looking For

• Familiarity and some experience with machine learning research or applied ML, ideally with expertise in probabilistic models and Bayesian statistics.
• Experience bringing ML models from prototype to production with supervision.
• Strong analytical and problem‑solving abilities, and confidence working across disciplines following established guidance.
• Advanced degree (MSc/PhD) in Computer Science, Statistics, Applied Mathematics, or a related field — or equivalent practical experience.
• Clear communication skills and a collaborative mindset.

Bonus Points

• PhD in a relevant field.
• Experience with large‑scale data systems or distributed training.
• Experience with optimisation methods (e.g., linear programming)
• Familiarity with cloud computing platforms (AWS, GCP, Azure).
• Prior work in pricing, forecasting, or decision optimisation.

Why Join Us

• Competitive compensation and equity package.
• Hybrid work setup in London.
• A collaborative, supportive environment where you’ll be challenged and encouraged every day.
• Career growth opportunities at the intersection of AI and global trade.

Commitment to Diversity

Solvo.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and supported.

At this stage we can only accommodate candidates who already have the right to work in the UK.